Choose from a wide range of CV templates and customize the design with a single click.
Use ATS-optimised CV and resume templates that pass applicant tracking systems. Our CV builder helps recruiters read, scan, and shortlist your CV faster.
Use professional field-tested resume templates that follow the exact CV rules employers look for.
Create CV
Use professional field-tested resume templates that follow the exact CV rules employers look for.
An Entry-Level Software Engineer resume is evaluated very differently from a senior engineering resume. In 2026 hiring pipelines, early-career resumes are screened primarily for:
•Technical readiness
• Applied implementation ability
• Stack alignment with the job description
• Code quality signals
• Evidence of execution beyond coursework
Recruiters and ATS systems are not looking for “potential.” They are looking for proof of practical capability within limited experience.
This page explains how entry-level Software Engineer resumes are actually screened — and provides a high-performing template engineered for modern ATS pipelines and recruiter logic.
Entry-level resumes are heavily filtered by:
•Programming language match (e.g., Python, Java, JavaScript, C++)
• Framework alignment (React, Spring Boot, FastAPI, Node.js)
• Cloud familiarity (AWS, Azure, GCP)
• Database exposure (PostgreSQL, MySQL, MongoDB)
• Version control usage (Git)
Failure patterns:
•Listing 20+ technologies without project usage
• Including academic jargon instead of implementation detail
• Generic “worked on group project” phrasing
• Missing Git, CI/CD, or deployment references
ATS systems score based on contextual usage, not keyword density.
Recruiters assess:
•Is this candidate employable in a production codebase?
• Have they built deployable systems?
• Do projects resemble real-world engineering work?
• Is the stack aligned with the open role?
Recruiters reject resumes that:
•
The strongest early-career resumes show:
•2–4 meaningful projects
• Clear tech stack alignment
• Deployment or cloud exposure
• GitHub with structured repositories
• Measurable technical results
The weakest resumes show:
•Coursework summaries
• Long skill lists with no implementation
• No metrics
• No deployment
• No collaboration context
Signal must be execution-based.
Hiring managers validate:
•Code structure exposure
• API creation or backend logic experience
• Data handling familiarity
• Testing awareness
• Deployment understanding
Even entry-level candidates must demonstrate awareness of production realities.
San Francisco, CA
daniel.carter@email.com
(555) 402-8831
LinkedIn: linkedin.com/in/danielcarter
GitHub: github.com/danielcarter
Computer Science graduate with hands-on experience building REST APIs, deploying containerized applications, and optimizing backend logic for performance. Developed full-stack and backend-focused systems using Python, Java, and AWS. Strong foundation in scalable architecture, database optimization, and automated testing practices.
•Programming: Python, Java, JavaScript
• Frameworks: FastAPI, Spring Boot, React
• Databases: PostgreSQL, MongoDB
• Cloud: AWS EC2, S3
• DevOps: Docker, GitHub Actions
• Tools: Git, Postman, VS Code
• Testing: Pytest, JUnit
•Built RESTful API using FastAPI handling 10K+ simulated user requests
• Designed PostgreSQL schema with indexed queries reducing response time by 31%
• Containerized application using Docker for consistent deployment
• Deployed to AWS EC2 with Nginx configuration
• Implemented JWT authentication and role-based access control
•Developed Spring Boot microservice managing product inventory and orders
• Integrated payment gateway API for transaction processing
• Wrote unit tests achieving 85% code coverage
• Implemented Redis caching improving data retrieval performance by 28%
• Structured project using layered architecture for scalability
•Created full-stack application using React frontend and Node.js backend
• Integrated WebSocket functionality for real-time messaging
• Deployed application using Docker Compose
• Optimized message storage schema for reduced latency
Software Engineering Intern
BlueWave Systems | Remote | Summer 2025
•Contributed to backend API endpoints used by 20K+ monthly users
• Fixed production bugs reducing support tickets by 18%
• Assisted in database migration improving query performance
• Participated in sprint planning and code reviews
Bachelor of Science in Computer Science
University of California, Davis
Graduated 2025
It demonstrates:
•Practical implementation
• Stack alignment
• Deployment knowledge
• Measurable results
• Production exposure
It avoids:
•Academic-only descriptions
• Inflated technology lists
• Non-technical filler
• Generic objective statements
The structure ensures ATS readability while maintaining recruiter clarity.
Recruiters are filtering out resumes that:
•Use identical project templates
• Lack deployment proof
• Show no performance metrics
• Include cloned GitHub repositories
Differentiation now requires:
•Real hosting links
• Unique architecture decisions
• Documented scalability considerations
Even entry-level engineers benefit from documenting:
•Use of AI code assistance responsibly
• Automated testing generation
• Debugging acceleration through AI tooling
However, claims must be tied to measurable engineering outcomes.
A focused stack with depth outperforms:
“Python, Java, C++, Go, Rust, PHP, Ruby…”
Breadth without implementation credibility lowers screening confidence.
Upload CV
Import from Linkedin
